At this year’s Code Conference, AMD CEO Lisa Su revealed how the company is using AI in chip design, the future outlook of the GPU business and chip supply chain, and how AMD plans to compete with Nvidia’s H100.
Mo Gawdat openly discusses the current rate of advancement of AI and the expected technological innovation that will follow at the Nordic Business Forum 2023 in Helsinki on September 27, 2023.
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Texas-based Venus Aerospace is working with rotating-detonation propulsion technology to turn the “Stargazer” from sci-concept to Mach-9 business jet that flies at 6,900 mph.
OpenAI, one of the best-funded AI startups in business, is exploring making its own AI chips.
Discussions of AI chip strategies within the company have been ongoing since at least last year, according to Reuters, as the shortage of chips to train AI models worsens. OpenAI is reportedly considering a number of strategies to advance its chip ambitions, including acquiring an AI chip manufacturer or mounting an effort to design chips internally.
OpenAI CEO Sam Altman has made the acquisition of more AI chips a top priority for the company, Reuters reports.
Mitch Lee can tick off the many environmental advantages of electric boats versus ICE counterparts that rule the waves: No exhaust fumes and pollution. No oil slicks trailing in the wake. No guzzling of pricey marine fuel at 2 kilometers-per-liter or less.
But with all respect to the Sierra Club, Arc Boats isn’t in business to save the planet.
“The climate benefits are certainly there. But our goal is to deliver better boats, period,” says Lee, the CEO and former Boeing engineer whose cofounder and CTO, Ryan Cook, is the former lead engineer of Space X.
Continue reading “Arc Boats Takes a Page from Tesla and Space X” »
Over the past few years, we have taken a gigantic leap forward in our decades-long quest to build intelligent machines: the advent of the large language model, or LLM.
This technology, based on research that tries to model the human brain, has led to a new field known as generative AI — software that can create plausible and sophisticated text, images and computer code at a level that mimics human ability.
Businesses around the world have begun to experiment with the new technology in the belief it could transform media, finance, law and professional services, as well as public services such as education. The LLM is underpinned by a scientific development known as the transformer model, made by Google researchers in 2017.
Annika Hauptvogel, head of technology and innovation management at Siemens, describes the industrial metaverse as “immersive, making users feel as if they’re in a real environment; collaborative in real time; open enough for different applications to seamlessly interact; and trusted by the individuals and businesses that participate”—far more than simply a digital world.
The industrial metaverse will revolutionize the way work is done, but it will also unlock significant new value for business and societies. By allowing businesses to model, prototype, and test dozens, hundreds, or millions of design iterations in real time and in an immersive, physics-based environment before committing physical and human resources to a project, industrial metaverse tools will usher in a new era of solving real-world problems digitally.
“The real world is very messy, noisy, and sometimes hard to really understand,” says Danny Lange, senior vice president of artificial intelligence at Unity Technologies, a leading platform for creating and growing real-time 3D content. “The idea of the industrial metaverse is to create a cleaner connection between the real world and the virtual world, because the virtual world is so much easier and cheaper to work with.”
Not to be outdone in the generative artificial intelligence (AI) race, China-based tech giant Alibaba has recently unveiled a number of its own tools and models. Its flagship is its ChatGPT challenging large language model (LLM) called Tongyi Qianwen — cited as one of the largest and most powerful generative chatbots produced so far.
Alibaba is best known in the West as an e-commerce titan, in many ways analogous to Amazon. Like that US company, it’s also a global leader in cloud services provided through its subsidiary Alibaba Cloud.
Its dominance across retail and web services means it is well-positioned to create apps enabling its business customers to launch their own generative AI… More.
There’s no shortage of stories about young, hyper-successful entrepreneurs. From the Forbes’ 30 Under 30 lists to films like “The Social Network”, these stories offer an alluring blueprint for early success: dream huge, work hard, and soon enough you too can get filthy, tech-titan rich.
You’re less likely to hear the more common story: a young entrepreneur starts a new business, accrues debt, runs out of luck, gets demoralized and then, reluctantly, takes on a regular job. What explains the frequency of these crash-and-burn stories? It seems the problem doesn’t lie in the pursuit of entrepreneurism, but rather in the age at which entrepreneurs start launching businesses.
That’s the takeaway of a recent study that found the mean age for the 1-in-1,000 fastest growing new ventures to be 45 years. This finding held true across “high-technology sectors, entrepreneurial hubs, and successful firm exits.” So, although conventional thinking tends to paint the young generation as uniquely creative innovators and (sorry in advance) Big Thinkers, it seems that older generations are more likely to possess traits that facilitate entrepreneurial success.
